Remote Genome Assembly Workshop 2020

Who should attend? … Prior course participants have included faculty, post docs, grad students, staff, and industry researchers.

What are the prerequisites? …  The hands-on portion of the workshop will  involve command-line interaction with some R, therefore prior command-line and R experience is a must to fully participate. If you are not familiar with the command line but would like to attend, listen, and learn that is OK, but we will be unable to train you in how to use the command-line during this workshop.

What do I need to bring? … You will need to have access to a computer with a recent version of R, Rstudio, and Java installed, and an application that will allow you to ssh into a server (e.g. Bash for Windows, or Terminal for Apple) as well as the ability to connect to the interneti. Computational exercises will be performed on a remote server. We can help with setup early on in the workshop. If your department does not allow you to install software on your computer, please contact us ahead of time.

Can I bring my own data? … We will provide experimental datasets for use during the workshop, as this helps to keep the workshop moving. There will be time, however, to discuss your own datasets and how you might work with them outside of the workshop.

How much does it cost? … The registration fee is $1,000 for UC students, postdocs, staff and faculty, $1,200 for Non-UC academic or non-profit participants and $1,700 for other participants. We accept credit cards, as well as UC Davis recharge accounts, for payment.

Where is the workshop? … Online! This workshop will run from 9:00am to 5:00pm on the dates indicated.

How do I apply? … All registration is “first-come, first-served.” There is no application process. Sign up as soon as possible to ensure your place in the workshop.

Where can I find more information, including your policies?  ... Go to our website (bioinformatics.ucdavis.edu/training/) and check out our FAQ and Policies.

Questions?

If you have any questions, please don’t hesitate to contact us at training.bioinformatics@ucdavis.edu